ASUS All Series
Geekbench AI Score
2742
Single Precision Score
813
Half Precision Score
2141
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | May 17 2025 04:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2675 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. X99-DELUXE II |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2675 v3 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2390
444.5 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.3 IPS |
|
|
Image Classification (Q)
|
96% |
2204
411.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1009
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
97% |
1095
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6553
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
4559
5.32 IPS |
|
|
Pose Estimation (Q)
|
86% |
6558
7.75 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
58% |
1572
171.8 IPS |
|
|
Face Detection (SP)
|
100% |
5445
64.7 IPS |
|
|
Face Detection (HP)
|
100% |
762
9.06 IPS |
|
|
Face Detection (Q)
|
96% |
3980
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7231
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1063
8.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
6098
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13260
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10287
13.2 IPS |
|
|
Style Transfer (Q)
|
87% |
10003
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1348
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1399
51.9 IPS |
|
|
Text Classification (SP)
|
100% |
706
942.6 IPS |
|
|
Text Classification (HP)
|
100% |
305
406.7 IPS |
|
|
Text Classification (Q)
|
97% |
216
289.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (Q)
|
68% |
1113
21.5 IPS |
